Evidence map›Paper›PMID 32031755›Full record

ArticleAnnals of clinical and translational neurology2020

Prognostic value of amplitude-integrated EEG in neonates with high risk of neurological sequelae.

Xiao Yuan, Wenqing Kang, Juan Song, Jing Guo, Lanlan Guo, Ruili Zhang, Shasha Liu, Yaodong Zhang, Dapeng Liu, Yong Wang and 7 more

Open access · goldAbstract read
In one paragraph

Article in Annals of clinical and translational neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.0field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 14 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors at 3 institutions in 2 countries.

Xiao Yuan *Henan Key Laboratory of Child Brain Injury, Third Affiliated Hospital and Institute of Neuroscience, Zhengzhou University, Zhengzhou, 450052, China.
Wenqing Kang *Neonatal Intensive Care Unit, Zhengzhou Key Laboratory of Newborn Disease Research, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou, 450018, China.
Juan SongHenan Key Laboratory of Child Brain Injury, Third Affiliated Hospital and Institute of Neuroscience, Zhengzhou University, Zhengzhou, 450052, China.
Jing GuoNeonatal Intensive Care Unit, Zhengzhou Key Laboratory of Newborn Disease Research, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou, 450018, China.
Lanlan GuoHenan Key Laboratory of Child Brain Injury, Third Affiliated Hospital and Institute of Neuroscience, Zhengzhou University, Zhengzhou, 450052, China.
Ruili ZhangHenan Key Laboratory of Child Brain Injury, Third Affiliated Hospital and Institute of Neuroscience, Zhengzhou University, Zhengzhou, 450052, China.
Shasha LiuHenan Key Laboratory of Child Brain Injury, Third Affiliated Hospital and Institute of Neuroscience, Zhengzhou University, Zhengzhou, 450052, China.
Yaodong ZhangNeonatal Intensive Care Unit, Zhengzhou Key Laboratory of Newborn Disease Research, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou, 450018, China.
Dapeng LiuNeonatal Intensive Care Unit, Zhengzhou Key Laboratory of Newborn Disease Research, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou, 450018, China.
Yong WangHenan Key Laboratory of Child Brain Injury, Third Affiliated Hospital and Institute of Neuroscience, Zhengzhou University, Zhengzhou, 450052, China.
Xue DingHenan Key Laboratory of Child Brain Injury, Third Affiliated Hospital and Institute of Neuroscience, Zhengzhou University, Zhengzhou, 450052, China.
Huimin DongHenan Key Laboratory of Child Brain Injury, Third Affiliated Hospital and Institute of Neuroscience, Zhengzhou University, Zhengzhou, 450052, China.
Xi ChenHenan Key Laboratory of Child Brain Injury, Third Affiliated Hospital and Institute of Neuroscience, Zhengzhou University, Zhengzhou, 450052, China.
Yanchao ChengHenan Key Laboratory of Child Brain Injury, Third Affiliated Hospital and Institute of Neuroscience, Zhengzhou University, Zhengzhou, 450052, China.
Xiaoli ZhangHenan Key Laboratory of Child Brain Injury, Third Affiliated Hospital and Institute of Neuroscience, Zhengzhou University, Zhengzhou, 450052, China.
Falin XuHenan Key Laboratory of Child Brain Injury, Third Affiliated Hospital and Institute of Neuroscience, Zhengzhou University, Zhengzhou, 450052, China.
Changlian ZhuHenan Key Laboratory of Child Brain Injury, Third Affiliated Hospital and Institute of Neuroscience, Zhengzhou University, Zhengzhou, 450052, China.ORCID 0000-0002-5029-6730
Third Affiliated Hospital of Zhengzhou University · CNZhengzhou University · CNKarolinska Institutet · SE

Funding

ALF (Avtal om läkarutbildning och forskning) ALFGBG-717791Department of Science and Technology of Henan Province, China 171100310200National Key Research and Development Program of China 2018YFC1004604National Natural Science Foundation of China U1704281Swedish Research Council 2018-02667
6 · The paper itself

Abstract

objectiveTo determine the efficacy and the prognostic value of amplitude-integrated electroencephalography (aEEG) in term and near-term neonates with high risk of neurological sequelae.

methodsInfants of ≥35 weeks of gestation diagnosed with neonatal encephalopathy or with high risk of brain injury were included. All eligible infants underwent aEEG within 6 h after clinical assessment. The infants were followed up 12 months to evaluate neurological development.

resultsA total of 250 infants were eligible, of which 85 had normal aEEG, 81 had mildly abnormal aEEG, and 84 had severely abnormal aEEG. Of these infants, 168 were diagnosed with different neonatal encephalopathies, 27 with congenital or metabolic diseases, and 55 with high risk of brain injury. In all, 22 infants died, 19 were lost to follow-up, and 209 completed the follow-up at 12 months, of which 62 were diagnosed with a neurological disability. Statistical analysis showed that severely abnormal aEEG predicted adverse neurological outcome with a sensitivity of 70.2%, a specificity of 87.1%, a positive predictive value of 75.6%, and a negative predictive value of 83.7%.

interpretationaEEG can predict adverse outcomes in high-risk neonates and is a useful method for monitoring neonates with high risk of adverse neurological outcomes.

Indexed as

Brain DiseasesBrain InjuriesElectroencephalographyFemaleFollow-Up StudiesHumansInfantInfant, NewbornInfant, Newborn, DiseasesMalePredictive Value of TestsPrognosisRisk

Identifiers

PMID32031755
PMCPMC7034499
OpenAlexW3004439955

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.